Health Information Science and Systems

Papers
(The median citation count of Health Information Science and Systems is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?125
Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies75
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network66
COVID-19 infection map generation and detection from chest X-ray images59
Classification of normal and depressed EEG signals based on centered correntropy of rhythms in empirical wavelet transform domain58
Detecting autism spectrum disorder using machine learning techniques53
A hybrid AI approach for supporting clinical diagnosis of attention deficit hyperactivity disorder (ADHD) in adults51
Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network37
An algorithm for Parkinson’s disease speech classification based on isolated words analysis36
MDU-Net: multi-scale densely connected U-Net for biomedical image segmentation35
Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning30
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes28
Automatic breast lesion segmentation in phase preserved DCE-MRIs27
New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis26
BTC-fCNN: Fast Convolution Neural Network for Multi-class Brain Tumor Classification26
Hand tremor detection in videos with cluttered background using neural network based approaches24
COVID-19 diagnosis from chest x-rays: developing a simple, fast, and accurate neural network23
MHA: a multimodal hierarchical attention model for depression detection in social media20
Computer-aided diagnosis of hepatocellular carcinoma fusing imaging and structured health data19
Fusion of whole and part features for the classification of histopathological image of breast tissue18
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count18
Features extraction using encoded local binary pattern for detection and grading diabetic retinopathy17
A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration16
Optical coherence tomography image based eye disease detection using deep convolutional neural network16
Improving convolutional neural networks performance for image classification using test time augmentation: a case study using MURA dataset16
Studying human-AI collaboration protocols: the case of the Kasparov’s law in radiological double reading15
A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services15
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation14
Holistic multi-class classification & grading of diabetic foot ulcerations from plantar thermal images using deep learning13
Mixed pyramid attention network for nuclear cataract classification based on anterior segment OCT images13
A method of VR-EEG scene cognitive rehabilitation training12
Predicting the relationships between gut microbiota and mental disorders with knowledge graphs12
Meta-path guided graph attention network for explainable herb recommendation12
Physicians’ and pharmacists’ use of My Health Record in the emergency department: results from a mixed-methods study11
MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images11
Knowledge Graphs of Kawasaki Disease11
SpecMEn-DL: spectral mask enhancement with deep learning models to predict COVID-19 from lung ultrasound videos11
Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm10
GLIMPSE: a glioblastoma prognostication model using ensemble learning—a surveillance, epidemiology, and end results study10
Predicting special care during the COVID-19 pandemic: a machine learning approach10
Efficacy of novel attention-based gated recurrent units transformer for depression detection using electroencephalogram signals10
A framework for in-vivo human brain tumor detection using image augmentation and hybrid features9
Identification of normal and depression EEG signals in variational mode decomposition domain9
Embedding-based link predictions to explore latent comorbidity of chronic diseases9
Detection and explanation of anomalies in healthcare data9
The development of a machine learning algorithm to identify occupational injuries in agriculture using pre-hospital care reports9
Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset9
Epidemiological investigation of a COVID-19 family cluster outbreak transmitted by a 3-month-old infant9
STSNet: a novel spatio-temporal-spectral network for subject-independent EEG-based emotion recognition8
Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine8
Autism screening: an unsupervised machine learning approach7
Classifying sepsis from photoplethysmography7
S-LSTM-ATT: a hybrid deep learning approach with optimized features for emotion recognition in electroencephalogram7
Microstate feature fusion for distinguishing AD from MCI7
Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review6
Intelligent antepartum fetal monitoring via deep learning and fusion of cardiotocographic signals and clinical data6
HTC-Net: Hashimoto’s thyroiditis ultrasound image classification model based on residual network reinforced by channel attention mechanism6
A multi-label classification system for anomaly classification in electrocardiogram6
A two-stage segmentation of sublingual veins based on compact fully convolutional networks for Traditional Chinese Medicine images6
Towards data-driven tele-medicine intelligence: community-based mental healthcare paradigm shift for smart aging amid COVID-19 pandemic6
A new mixed reality tool for training in minimally invasive robotic-assisted surgery6
Nationwide hospital admission data statistics and disease-specific 30-day readmission prediction6
The nnU-Net based method for automatic segmenting fetal brain tissues5
Quantitative EEG in sports: performance level estimation of professional female soccer players5
Color-invariant skin lesion semantic segmentation based on modified U-Net deep convolutional neural network5
MEAs-Filter: a novel filter framework utilizing evolutionary algorithms for cardiovascular diseases diagnosis5
A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project5
PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals5
Deep-kidney: an effective deep learning framework for chronic kidney disease prediction5
Generalized metabolic flux analysis framework provides mechanism-based predictions of ophthalmic complications in type 2 diabetes patients4
Using nutrigenomics to guide personalized nutrition supplementation for bolstering immune system4
Contributions of individual muscle forces to hip, knee, and ankle contact forces during the stance phase of running: a model-based study4
A novel information sharing framework for people living with type-2 diabetes in the context of a group education program4
A novel empirical wavelet SODP and spectral entropy based index for assessing the depth of anaesthesia4
Automatic breast tissue segmentation in MRIs with morphology snake and deep denoiser training via extended Stein’s unbiased risk estimator4
Efficient novel network and index for alcoholism detection from EEGs4
Autonomous detection of myocarditis based on the fusion of improved quantum genetic algorithm and adaptive differential evolution optimization back propagation neural network4
Exploring relationship between emotion and probiotics with knowledge graphs4
A new diagnostic autism spectrum disorder (DASD) strategy using ensemble diagnosis methodology based on blood tests4
Design and evaluation of an exergame system to assist knee disorders patients' rehabilitation based on gesture interaction4
LDS-CNN: a deep learning framework for drug-target interactions prediction based on large-scale drug screening4
Naïve Bayesian network-based contribution analysis of tumor biology and healthcare factors to racial disparity in breast cancer stage-at-diagnosis3
Who determines United States Healthcare out-of-pocket costs? Factor ranking and selection using ensemble learning3
Dengue outbreaks prediction in Bangladesh perspective using distinct multilayer perceptron NN and decision tree3
Knowledge and data-driven prediction of organ failure in critical care patients3
Effectiveness assessment of repetitive transcranial alternating current stimulation with concurrent EEG and fNIRS measurement3
Analysis of sentiment changes in online messages of depression patients before and during the COVID-19 epidemic based on BERT+BiLSTM3
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning3
Wrist pulse signal based vascular age calculation using mixed Gaussian model and support vector regression3
Early detection of paediatric and adolescent obsessive–compulsive, separation anxiety and attention deficit hyperactivity disorder using machine learning algorithms3
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